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Looking Back on 2019, New Faculty Members Are a Highlight

Looking Back on 2019, New Faculty Members Are a Highlight

As the year draws to a close, we're looking back on highlights of 2019, including the arrival and hiring of dozens of new tenured and tenure-track faculty members in the College of Natural Sciences. Below are some of the stellar scientists and mathematicians new to our college community.

Computer Scientist Scott Aaronson Named as ACM Fellow

Computer Scientist Scott Aaronson Named as ACM Fellow

Scott Aaronson has been named as an Association for Computing Machinery Fellow.

Texas Computer Science professor Scott Aaronson has been named as a 2019 Association for Computing Machinery (ACM) Fellow. ACM is the world's largest computing society and is dedicated to advancing the field. Each year, the organization honors members that have made a significant contribution to the field of computing and information technology.

Building Industry Bridges: Computer Scientist Tackles New Role for Sony, While Leading at UT

Building Industry Bridges: Computer Scientist Tackles New Role for Sony, While Leading at UT

Peter Stone has been tapped by Sony Corp. to head up the U.S. branch of its new global artificial intelligence research division, called Sony AI. Photo credit: University of Texas at Austin.

In a sign of the highly competitive environment for top talent in the field of artificial intelligence (AI), the Sony Corporation this week tapped Peter Stone, a faculty member in the College of Natural Sciences at The University of Texas at Austin, to lead the newly established Sony AI in the United States.

Natural Sciences Researchers Win President’s Award for Global Learning

Natural Sciences Researchers Win President’s Award for Global Learning

Two teams with College of Natural Sciences faculty members and students – and three additional teams with undergraduates from the college – were recently honored with the President’s Award for Global Learning, which aims to highlight innovative solutions to global problems and give interdisciplinary teams of faculty and students the opportunity to take those projects to international sites.

UT Austin Launches Institute to Harness the Data Revolution

UT Austin Launches Institute to Harness the Data Revolution

Research from UT Austin professors and TRIPODS members Alex Dimakis and Eric Price shows that it is possible to learn a deep generative model that dreams images of human faces (right panel), trained by observing only occluded images (left panel). The middle panel shows a previous approach for solving this problem, that fails. [Figure from: AmbientGAN: Generative models from lossy measurements, by A. Bora, E. Price and A.G. Dimakis, ICLR 2018.]

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.

How Do Computers Learn? Sometimes by Driving Cars and Spinning Tunes

How Do Computers Learn? Sometimes by Driving Cars and Spinning Tunes

​Members of The University of Texas at Austin's Learning Agents Research Group have been a resource for members of the media about how to teach artificial intelligence systems to learn.

Computer Scientist Weighs in on Quantum Supremacy

Computer Scientist Weighs in on Quantum Supremacy

Google’s quantum computer. Credit: Google

Google announced earlier this week that a team of researchers made a milestone achievement: "quantum supremacy," or the creation of a quantum computer capable of calculations beyond the capacity of a traditional supercomputer. To put this in perspective, a number of media outlets, including New York Times, Scientific American, Nature, Quanta Magazine, BBC and NPR, relied on the expertise of Scott Aaronson, a professor of computer science at the University of Texas at Austin.

Visualizing Science 2019: Revealing Hidden Splendor in College Research

Visualizing Science 2019: Revealing Hidden Splendor in College Research

Each year the College of Natural Sciences invites its faculty, staff and students to submit the most stunning and inspiring images from their scholarly research for our Visualizing Science competition. We ask for images that not only inform and educate, but also celebrate the beauty inherent within scientific discovery.

Artificial Intelligence System Gives Fashion Advice

Artificial Intelligence System Gives Fashion Advice

People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone.

Meet the 2019 Hall of Honor Inductees

Meet the 2019 Hall of Honor Inductees

Three College of Natural Sciences alumni were selected for induction into the college's 2019 Hall of Honor.